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Articles de revues sur le sujet « Unsolicited rating »

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Auteur : Grafiati
Publié le 11 mars 2023

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1

Fairchild, Lisa M., Susan M. V. Flaherty et Yoon S. Shin. « Analysis of Unsolicited Credit Ratings in Japan : New Evidence from Moody's ». Review of Pacific Basin Financial Markets and Policies 12, no 01 (mars 2009) : 103–23. http://dx.doi.org/10.1142/s0219091509001563.

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Previous studies show that the unsolicited ratings of S&P and Fitch are lower than the solicited ratings assigned by these two agencies. The unsolicited ratings of S&P and Fitch are based on publicly available information for a firm. However, no previous study has examined the unsolicited ratings of Moody's because Moody's does not disclose whether its ratings are solicited or unsolicited. Using Moody's solicited and unsolicited ratings collected from a survey of Japanese firms, we find that unsolicited credit ratings are still lower than solicited ratings even though firms with unsolicited ratings provide Moody's with some degree of inside information. We also compare the unsolicited ratings of S&P with those of Moody's and find that Moody's ratings are no different than those assigned by S&P although S&P's unsolicited ratings are based on public information. Therefore, we conclude that, regardless of the rating agency, unsolicited ratings are lower than solicited ratings because firms with unsolicited ratings provide incomplete private information to rating agencies.
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GIBERT, ANNA. « SOLICITED VERSUS UNSOLICITED RATINGS : THE ROLE OF SELECTION ». Journal of Financial Management, Markets and Institutions 07, no 02 (décembre 2019) : 1950005. http://dx.doi.org/10.1142/s2282717x19500051.

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This paper analyzes the extent to which selection explains the observed discrepancy between solicited and unsolicited ratings. I propose a model of selection with truth telling rating agencies and borrowers with the ability to veto the revelation of the rating. The observed difference between the two categories of ratings in different sectors is in line with the prediction of the model. In the sovereign market there is a positive selection of borrowers into unsolicited ratings whereas other sectors have, on the contrary, lower unsolicited rating grades than those solicited.
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Bannier, Christina E., Patrick Behr et Andre Güttler. « Rating opaque borrowers : why are unsolicited ratings lower?* ». Review of Finance 14, no 2 (14 novembre 2009) : 263–94. http://dx.doi.org/10.1093/rof/rfp025.

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Hendrikx, Roy Johannus Petrus, Hanneke Wil-Trees Drewes, Marieke Spreeuwenberg, Dirk Ruwaard et Caroline Baan. « Measuring Regional Quality of Health Care Using Unsolicited Online Data : Text Analysis Study ». JMIR Medical Informatics 7, no 4 (16 décembre 2019) : e13053. http://dx.doi.org/10.2196/13053.

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Background Regional population management (PM) health initiatives require insight into experienced quality of care at the regional level. Unsolicited online provider ratings have shown potential for this use. This study explored the addition of comments accompanying unsolicited online ratings to regional analyses. Objective The goal was to create additional insight for each PM initiative as well as overall comparisons between these initiatives by attempting to determine the reasoning and rationale behind a rating. Methods The Dutch Zorgkaart database provided the unsolicited ratings from 2008 to 2017 for the analyses. All ratings included both quantitative ratings as well as qualitative text comments. Nine PM regions were used to aggregate ratings geographically. Sentiment analyses were performed by categorizing ratings into negative, neutral, and positive ratings. Per category, as well as per PM initiative, word frequencies (ie, unigrams and bigrams) were explored. Machine learning—naïve Bayes and random forest models—was applied to identify the most important predictors for rating overall sentiment and for identifying PM initiatives. Results A total of 449,263 unsolicited ratings were available in the Zorgkaart database: 303,930 positive ratings, 97,739 neutral ratings, and 47,592 negative ratings. Bigrams illustrated that feeling like not being “taken seriously” was the dominant bigram in negative ratings, while bigrams in positive ratings were mostly related to listening, explaining, and perceived knowledge. Comparing bigrams between PM initiatives showed a lot of overlap but several differences were identified. Machine learning was able to predict sentiments of comments but was unable to distinguish between specific PM initiatives. Conclusions Adding information from text comments that accompany online ratings to regional evaluations provides insight for PM initiatives into the underlying reasons for ratings. Text comments provide useful overarching information for health care policy makers but due to a lot of overlap, they add little region-specific information. Specific outliers for some PM initiatives are insightful.
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Klusak, Patrycja, Rasha Alsakka et Owain ap Gwilym. « Does the disclosure of unsolicited sovereign rating status affect bank ratings ? » British Accounting Review 49, no 2 (mars 2017) : 194–210. http://dx.doi.org/10.1016/j.bar.2016.08.004.

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Byoun, Soku. « Information content of unsolicited credit ratings and incentives of rating agencies : A theory ». International Review of Economics & ; Finance 33 (septembre 2014) : 338–49. http://dx.doi.org/10.1016/j.iref.2014.02.011.

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Tsao, Hsiu-Yuan, Ming-Yi Chen, Hao-Chiang Koong Lin et Yu-Chun Ma. « The asymmetric effect of review valence on numerical rating ». Online Information Review 43, no 2 (8 avril 2019) : 283–300. http://dx.doi.org/10.1108/oir-11-2017-0307.

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PurposeThe basic assumption is that there is a symmetric relationship between review valence and rating, but what if review valence and rating were linked asymmetrically? There are few studies which have investigated the situations in which positive and negative online reviews exert different influences on ratings. This study considers brand strength as having an important moderating role because the average rating of existing reviews for a particular product is a heuristic cue for decision makers. Thus, the purpose of this paper is to argue that an asymmetric relationship between review content valence and numerical rating will depend on brand strength.Design/methodology/approachThe authors have conducted a sentiment analysis via text mining, using self-developed computer programs to retrieve a data set from the TripAdvisor website.FindingsThis study finds there is an asymmetric relationship between review valence (verbal) and numerical rating. The authors further find brand strength to have an important moderating role. For a stronger brand, negative review content will have a greater impact on numerical ratings than positive review content, while for a weaker brand, positive review content will have a greater impact on numerical ratings than negative review content.Practical implicationsMarketers could adopt sentiment analysis via text mining of online reviews as a valid measure or predictor of consumer satisfaction or numerical ratings. Strong brands should direct more attention to negative reviews, because in such reviews the negative impact transcends the positive. In contrast, weak brands should aim to exploit as many positive reviews as possible to minimize the impact of any negative reviews.Originality/valueThis study finds there is an asymmetric relationship between review valence (verbal) and numerical rating and considers brand strength to play an important moderating role. The authors have used real data from the TripAdvisor website, which allow people to express themselves in an unsolicited manner, and linked these with the results from the sentiment analysis.
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Bayer, Stephanie, Paul Kuzmickas, Adrienne Boissy, Susannah L. Rose et Mary Beth Mercer. « Categorizing and Rating Patient Complaints : An Innovative Approach to Improve Patient Experience ». Journal of Patient Experience 8 (1 janvier 2021) : 237437352199862. http://dx.doi.org/10.1177/2374373521998624.

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The Ombudsman Office at a large academic medical center created a standardized approach to manage and measure unsolicited patient complaints, including methods to identify longitudinal improvements, accounting for volume variances, as well as incident severity to prioritize response needs. Data on patient complaints and grievances are collected and categorized by type of issue, unit location, severity, and individual employee involved. In addition to granular data, results are collated into meaningful monthly leadership reports to identify opportunities for improvement. An overall benchmark for improvement is also applied based on the number of complaints and grievances received for every 1000 patient encounters. Results are utilized in conjunction with satisfaction survey results to drive patient experience strategies. By applying benchmarks to patient grievances, targets can be created based on historical performance. The utilization of grievance and complaint benchmarking helps prioritize resources to improve patient experiences.
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Poon, Patrick, Gerald Albaum et Cheng-Yue Yin. « Exploring risks, advantages and interpersonal trust in buyer-salesperson relationships in direct selling in a non-western country ». International Journal of Retail & ; Distribution Management 45, no 3 (13 mars 2017) : 328–42. http://dx.doi.org/10.1108/ijrdm-08-2016-0124.

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Purpose The purpose of this paper is to examine the dimensions of interpersonal trust which would affect the buyer-salesperson relationship in a direct selling situation. It also investigates consumers’ perceived risk and advantages of direct selling. Design/methodology/approach A questionnaire survey of consumers (and also non-consumers) of direct selling companies in Hong Kong was performed by means of mall-intercept interview. The major measurements were perceived risk, perceived advantages, trust dimensions, and repurchase intention. Findings The results show that there are six dimensions of interpersonal trust in the buyer-seller relationship in direct selling, but only one dimension (i.e. honesty) has a significant relationship with repurchase intention. The ability to shop at home is found to have the highest advantage rating of direct selling. In addition, direct selling is perceived to have a lower level of risk than unsolicited telephone call such as telemarketing. Originality/value This is the first study to investigate the effects of different dimensions of interpersonal trust on consumer buying behavior under a direct selling situation in Asia. The study also serves as a foundation for studying the applicability and usefulness of all trust measures in other western or non-western cultures/nations.
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Mukhopadhyay, Bappaditya. « Existence of Unsolicited Ratings ». Asia-Pacific Financial Markets 13, no 3 (3 août 2007) : 207–33. http://dx.doi.org/10.1007/s10690-007-9040-2.

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Poon, Winnie P. H. « Are unsolicited credit ratings biased downward ? » Journal of Banking & ; Finance 27, no 4 (avril 2003) : 593–614. http://dx.doi.org/10.1016/s0378-4266(01)00253-9.

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Behr, Patrick, et André Güttler. « The informational content of unsolicited ratings ». Journal of Banking & ; Finance 32, no 4 (avril 2008) : 587–99. http://dx.doi.org/10.1016/j.jbankfin.2007.04.021.

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Morena, Nina, Nicholas Zelt, Diana Nguyen, Carrie A. Rentschler, Devon Greyson et Ari N. Meguerditchian. « Can online patient reviews be used to assess oncologist competency ? RateMD as a cancer care evaluation tool. » Journal of Clinical Oncology 39, no 15_suppl (20 mai 2021) : e18656-e18656. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e18656.

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e18656 Background: Medical oncology (MEDONC) requires a combination of skills in collaboration, communication, and professionalism, ultimately delivering technical and clinical knowledge in practice. Standard assessment tools (e.g. written examination, OSCE) are not effective in evaluating competencies beyond technical skills and fail to define the cancer care experience holistically. This explorative, descriptive study aims to identify the potential of unstructured, unsolicited, open access online patient reviews (OPRs) as a tool to assess physician competency. Methods: University-affiliated MEDONCs in Ontario (Canada) were selected. All OPRs were identified on RateMD using every name permutation; physician names and institutional affiliations were removed from comments. A descriptive analysis of the cohort was completed. The CanMEDS Framework, defining physician standards, was used with its hierarchy of roles, concepts, and competencies. Two reviewers, a communication studies researcher and a healthcare professional, independently assessed comments and identified common themes. Competency-level assessments were evaluated using kappa with linear weights. Results: 473 OPRs were identified for 49 MEDONCs (71% male, 29% female). Of these, 23% were written by care providers. Competencies defining roles of Medical Expert, Communicator, and Professional were most prevalent (64%, 38%, and 27% respectively). Agreement levels were high in all roles (wK = 0.71 - 1.00). Themes identified were similar in positive and negative evaluations. Most commonly discussed positive themes were knowledge translation and compassionate interpersonal skills. Most common negative themes centered on lack of humility, compassion, and communication skills. 38% of comments were marked helpful, indicating engagement with other OPRs as a key characteristic of rating tools. In addition to the physician in question, 21% of OPRs reported on healthcare delivery by staff. Conclusions: OPRs emphasize experiential competencies related to interpersonal skills and suggest an alternative format to evaluating such aspects of MEDONC competencies.[Table: see text]
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Poon, Winnie P. H., et Michael Firth. « Are Unsolicited Credit Ratings Lower ? International Evidence From Bank Ratings ». Journal of Business Finance & ; Accounting 32, no 9-10 (16 novembre 2005) : 1741–71. http://dx.doi.org/10.1111/j.0306-686x.2005.00646.x.

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Shiu, Yung-Ming. « What Determines Lloyd’s Market Syndicates’ Unsolicited Ratings ? » Geneva Papers on Risk and Insurance - Issues and Practice 40, no 2 (avril 2015) : 316–33. http://dx.doi.org/10.1057/gpp.2014.36.

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Han, Seung Hun, William T. Moore, Yoon S. Shin et Seongbaek Yi. « Unsolicited Versus Solicited : Credit Ratings and Bond Yields ». Journal of Financial Services Research 43, no 3 (3 mai 2012) : 293–319. http://dx.doi.org/10.1007/s10693-012-0137-z.

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Fulghieri, Paolo, Günter Strobl et Han Xia. « The Economics of Solicited and Unsolicited Credit Ratings ». Review of Financial Studies 27, no 2 (31 octobre 2013) : 484–518. http://dx.doi.org/10.1093/rfs/hht072.

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Byoun, Soku, et Yoon S. Shin. « Information Content of Unsolicited Credit Ratings : Evidence from Japanese Firms* ». Asia-Pacific Journal of Financial Studies 41, no 1 (février 2012) : 59–86. http://dx.doi.org/10.1111/j.2041-6156.2011.01062.x.

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Byoun, Soku, Jon A. Fulkerson, Seung Hun Han et Yoon S. Shin. « Are unsolicited ratings biased ? Evidence from long-run stock performance ». Journal of Banking & ; Finance 42 (mai 2014) : 326–38. http://dx.doi.org/10.1016/j.jbankfin.2014.02.005.

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Nesbitt, Marylou, Kenneth A. Ault, Fred Aronson, Marjorie A. Boyd, Delvyn Caedren Case, Matthew Dugan, Kurt Ebraham, Jacqueline Hedlund, Helen Ryan et Kristiina Hyrkas. « Quality of Life after High Dose Chemotherapy with Autologous Hematopoietic Progenitor Cell Support Long Term Follow-Up. » Blood 110, no 11 (16 novembre 2007) : 3331. http://dx.doi.org/10.1182/blood.v110.11.3331.3331.

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Abstract Background: High Dose Chemotherapy with Autologous Hematopoietic Progenitor Cell Support (HDC/AutHPCS) is a cancer treatment which provides potential for improved survival and risk for short and long term treatment side effects. Self report of QOL outcomes can guide risk assessment and system improvements to optimize care and rehabilitation. Purpose: This study examined and compared over time, the quality of life outcomes for patients who have undergone this treatment. Design: The Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT v.3) was the survey instrument used to measure QOL. Respondents were also asked to report their performance status based on the Eastern Co-operative Oncology Group (ECOG) and the New York Heart Association (NYHA) Performance status scales. Two open-ended questions were asked: what ”Good”, or “Bad” things occurred related to the treatment. Additional questions were asked about sleep problems that occurred after transplant, and whether a structured exercise program would have helped after discharge. Method: A survey was mailed in November, 2005. Sample: Patients (n=145) who had this treatment at our institution were contacted by mail. Diagnoses included acute myeloid leukemia, lymphoma, multiple myeloma, amyloid, breast cancer, and testicular cancer. Data analysis: Scores for the FACT-BMT were analyzed using SPSS 14 (SPSS Inc., Chicago IL). Qualitative responses were analyzed using NVivo v.7 software. Results: The return rate was 57% (n=81). The FACT-BMT Scores, subscales and total scores were comparable to other findings in similar studies and populations. FACT BMT SCORES 2006 FactG Score (Mean+/−SD) Range(0–112) 89.24+/−17.32 (45–112) FACT BMT Score (Mean+/−SD Range (0–40) 29.14+/−6.37 (16–40) FACTG/BMT Total (Mean+/−SD) Range (0–152) 118.29+/−22.78 (61–152) There were no statistically significant differences in scores from past studies with this population at this institution. Significant correlations were found between the scores of items in the FACT-BMT for which ≥ 25% of respondents reported low item ratings and the self rating ECOG and/or NYHA performance scales. Significant differences were also found when comparing the FACT-BMT Scores, subscales and total scores with demographic attributes such as, marital status, living situation, health insurance, employment status, and income. Twenty-five per cent (n=21) of respondents described new problems with sleep and 54% (n= 41) of respondents reported that a structured exercise program would have been beneficial for recovery. There were 21 respondents who participated in this survey (2006) and two prior surveys (1997 and 1999). Content and themes of their unsolicited and solicited written responses of their self reported lived experiences over time will be presented. Conclusions: Overall, participants reported good quality of life. Based on demographics, there were subgroups identified potentially needing assessments and interventions focused on physical, social, emotional, and functional well being. This could be accomplished through a more focused pre-admission and follow-up needs assessment to identify patients who would potentially benefit from additional resources for psychosocial support, sleep and exercise/activity issues.
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Ku, Hsuan-Hsuan, et Chih-Yun Huang. « Prompting additional purchases while providing service : does it offend the customer ? » Journal of Service Theory and Practice 26, no 5 (12 septembre 2016) : 657–80. http://dx.doi.org/10.1108/jstp-10-2014-0232.

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Purpose The purpose of this paper is to investigate consumers’ responses to unsolicited cross-selling of supplementary paid-for services made during delivery of a core service, and the contextual and personal variables moderating those responses. Design/methodology/approach Three formal experiments test the effect on participants’ responses of the perceived relevance of the supplementary service to the core service, personal psychological reactance, in the case of a high-relevance supplementary service, and self-monitoring, in scenarios in which a low-relevance supplementary service is proposed either in public or privately. Findings The experiments found that participants’ satisfaction ratings were reduced in response to cross-selling of a supplementary service that was of low relevance to the core service, and that satisfaction ratings if it was perceived to be of high relevance compared were not reduced despite the unsolicited attempt at cross-selling. However, the non-negative response to a high-relevance offer was limited to participants with a lower tendency to reactance. Furthermore, a high predisposition to self-monitoring evoked more positive judgments if a low-relevance supplementary service was proposed in public rather than privately. That of low self-monitors was no different in either case. Originality/value This paper examines the trade-off faced by a service provider between customer satisfaction and extra revenue from supplementary services, and explores conditions under which a provider can propose unsolicited supplementary services without offending customers.
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Van Roy, Patrick. « Is There a Difference Between Solicited and Unsolicited Bank Ratings and, If So, Why ? » Journal of Financial Services Research 44, no 1 (23 septembre 2012) : 53–86. http://dx.doi.org/10.1007/s10693-012-0149-8.

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Fernández-Gámez, Manuel Ángel, Elias Bendodo-Benasayag, José Ramón Sánchez-Serrano et Maria Helena Pestana. « Hybrid preference assessment for tourism research using solicited and unsolicited opinions : an application in rural tourism ». Tourism & ; Management Studies 16, no 4 (31 octobre 2020) : 7–13. http://dx.doi.org/10.18089/tms.2020.160301.

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Social media analysis is a powerful tool for tourism research that, at a relatively low cost, can be used to manage and process large datasets of comments, ratings, and shares from different online communities. However, the heterogeneous nature of unsolicited opinions, the complexity of natural language assessment, and differences in the characteristics of social-data sources hinder the accurate assessment of preferences. Likewise, the use of solicited data sources, such as direct polling, is typically resource-intensive, time-consuming, and geographically limited. We analyze a hybrid approach that combines active polling with passive social media analysis to rate tourist experience. To this end, we present a novel multiple criteria decision analysis model for preference-extraction from solicited and unsolicited data. The proposed approach can significantly reduce the number of polls required to accurately assess the preferences of a community, especially when surveying rural destinations, which are sparsely populated geographic areas situated outside cities and towns.
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Assor, Avi. « Types of Power Motivation, Sense of Security, and Style of Power-Seeking in Groups ». Psychological Reports 63, no 1 (août 1988) : 91–105. http://dx.doi.org/10.2466/pr0.1988.63.1.91.

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Two studies examined the hypothesis that, in men, the revised nPower system of Winter measures a specific type of power orientation, which is associated with a moderate sense of security and a moderately defensive style of power-seeking. It was also hypothesized that nPower measures a less secure and a more defensive type of power orientation than the Dominance scale (Dom) of the California Psychological Inventory. High nPower (nPow) scores were associated with a moderate sense of security, whereas high Dominance scores were associated with a high sense of security, as indicated by self-report and sentence-completion personality tests and by peer ratings. In small groups, nPow predicted the development of the moderately defensive attitude of extreme superiority, whereas Dominance predicted the development of the nondefensive orientations of leadership-seeking and unsolicited helping. nPow was negatively related to unsolicited helping. Dominance but not nPow predicted the achievement of leadership and self-confident behavior. On the basis of these results and findings from other studies, it is argued that nPow, unlike Dominance, does not predict leadership-seeking and attainment in long-term small groups.
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Deng, Honglin, Weiquan Wang, Siyuan Li et Kai Lim. « Can Positive Online Social Cues Always Reduce User Avoidance of Sponsored Search Results ? » MIS Quarterly 46, no 1 (15 février 2022) : 35–70. http://dx.doi.org/10.25300/misq/2021/14962.

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Online social cues that utilize user-generated data, such as user reviews and product ratings, have become one of the key factors influencing online user behavior and decisions. Online users who shared their reviews and ratings about a product (or a seller) become an abstract reference group to a focal user interested in the same product. This study focuses on sponsored search results (SSRs), a type of unsolicited information that matches users’ search queries and receives high evaluations from prior consumers. We investigate the effects of positive social cues on alleviating users’ avoidance responses toward an encountered SSR when searching for a product in a C2C e-commerce context. We synthesize the avoidance literature and identify three forms of SSR avoidance, namely, cognitive, behavioral, and affective avoidance. We apply users’ implicit concerns on SSRs to explain users’ avoidance of an encountered SSR. In addition, we extend social influence theory to online settings where abstract reference groups are posited to trigger social influence. We examine how and under what conditions the three forms of SSR avoidance can be reduced by various positive online social cues (i.e., product- and seller-related). We conduct three laboratory experiments. Results attest to users’ implicit concerns on SSRs and their avoidance of SSRs and reveal different effects of various social cues on reducing the three forms of SSR avoidance. This study uncovers the theoretical mechanisms of social influence on reducing SSR avoidance in online settings. It also offers practical implications for online search service providers to help online users’ decision making in their search process.
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Karaman, Hülya. « Online Review Solicitations Reduce Extremity Bias in Online Review Distributions and Increase Their Representativeness ». Management Science, 29 octobre 2020. http://dx.doi.org/10.1287/mnsc.2020.3758.

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Representative online customer reviews are critical to the effective functioning of the Internet economy. In this study, I investigate the representativeness of online review distributions to examine how extremity bias and conformity impact it and explore whether online review solicitations alter representativeness. Past research on extreme distribution of online ratings commonly relied solely on observed public online ratings. One strength of the current paper is that I observe the private satisfaction ratings of customers regardless of whether they choose to write an online review or not. I show that both extremity bias and conformity exist in unsolicited online word-of-mouth (WOM) and introduce online review solicitations as a mechanism that can partially de-bias ratings. Solicitations increase all customers’ engagement in online WOM, but if solicited, those with moderate experiences increase their engagement more than those with extreme experiences. Consequently, although extremity bias still exists in solicited online WOM, solicitations significantly increase the representativeness of rating distributions. Surprisingly, the results demonstrate that without conformity, unsolicited online WOM would be even less representative of the original customer experiences. Furthermore, I document that both solicited and unsolicited reviews equally overstate the average customer experience (compared with average private ratings) despite stark differences in their rating distributions. Finally, I establish that solicitations for reviews on the company-owned website, on average, decrease the number of one-star reviews on a third-party review platform. This paper was accepted by Eric Anderson, marketing.
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Behr, Patrick, Christina E. Bannier et Andre Guettler. « Do Unsolicited Ratings Contain a Strategic Rating Component ? Evidence from S&P ». SSRN Electronic Journal, 2008. http://dx.doi.org/10.2139/ssrn.1099235.

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Gabriel, Amadeus. « Why Do Credit Rating Agencies Issue Unsolicited Ratings ? And Why Do Issuers Solicit Ratings If They Can Get Them For Free ? » SSRN Electronic Journal, 2012. http://dx.doi.org/10.2139/ssrn.2027550.

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Bendotti, Hollie, Sheleigh Lawler, David Ireland, Coral Gartner, Leanne Hides et Henry Marshall. « What do people want in a smoking cessation app ? An analysis of user reviews and app quality ». Nicotine & ; Tobacco Research, 30 août 2021. http://dx.doi.org/10.1093/ntr/ntab174.

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Abstract Introduction Mobile smoking cessation (mCessation) apps have the potential to complement and enhance existing interventions, but many are of low quality. Exploring app reviews can provide a broader understanding of user experiences and engagement, to enhance the quality, acceptability and effectiveness of future developments. Methods Publicly available user reviews and ratings of smoking cessation apps were mined from Google Play TM and the App Store ® via a targeted two-stage search strategy. English language smoking cessation apps with at least 20 consumer reviews between 2011 and 2020 were included. User reviews were thematically analysed using Braun & Clarke’s framework. Apps were independently scored using the Mobile Apps Rating Scale (MARS) and compared to average user star ratings. Results Forty-eight versions of 42 apps, encompassing 1,414 associated reviews, met eligibility criteria. Inductive coding of reviews produced 1,084 coding references including reviews coded across multiple nodes. Themes generated included: (1) supportive characteristics/tools; (2) useability; (3) influence on smoking behaviour; (4) benefits of quitting; and (5) role as a supplementary tool for quitting. The mean MARS score of 36 free and accessible apps was 3.10 (SD 0.71) with mean scores ranging from 2.00 to 4.47. An inverse relationship between MARS scores and average user star ratings was observed . Conclusions App personalisation, relationality, functionality and credibility were important to users, and should be considered as key design components for future apps. Differences between user star ratings and MARS scores may illustrate competing priorities of consumers and researchers, and the importance of a co-design development method. Implications This is the first study to use unsolicited user reviews from a large population to understand the general mCessation user experience in relation to making a quit attempt. Our findings highlight specific features favoured and disliked by users, including their influence on engagement, and supports previous findings that mCessation applications need to be highly tailorable, functional, credible and supportive. We recommend a consumer-driven, co-design approach for future mCessation app developments to optimise user acceptability and engagement.
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Byoun, Soku, et Yoon S. Shin. « Unsolicited Credit Ratings : Theory and Empirical Evidence ». SSRN Electronic Journal, 2003. http://dx.doi.org/10.2139/ssrn.354125.

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Byoun, Soku. « Information Content of Unsolicited Ratings : A Theory ». SSRN Electronic Journal, 2011. http://dx.doi.org/10.2139/ssrn.1711808.

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Poon, Winnie P. H., et Kam C. Chan. « Solicited and Unsolicited Credit Ratings : A Global Perspective ». SSRN Electronic Journal, 2010. http://dx.doi.org/10.2139/ssrn.1671452.

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Gibert, Anna mname. « Solicited Versus Unsolicited Ratings : The Role of Selection ». SSRN Electronic Journal, 2017. http://dx.doi.org/10.2139/ssrn.3102833.

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Fulghieri, Paolo, Günter Strobl et Han Xia. « The Economics of Solicited and Unsolicited Credit Ratings ». SSRN Electronic Journal, 2011. http://dx.doi.org/10.2139/ssrn.1784986.

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Fulghieri, Paolo, Gunter Strobl et Han Xia. « The Economics of Solicited and Unsolicited Credit Ratings ». SSRN Electronic Journal, 2010. http://dx.doi.org/10.2139/ssrn.1572059.

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Guettler, Andre, et Patrick Behr. « The Stock Market Reaction to Changes of Unsolicited Ratings ». SSRN Electronic Journal, 2005. http://dx.doi.org/10.2139/ssrn.724881.

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Bannier, Christina E., Patrick Behr et Andre Guettler. « Why are Unsolicited Ratings Lower than Solicited Ratings ? A Theoretical and Empirical Assessment ». SSRN Electronic Journal, 2007. http://dx.doi.org/10.2139/ssrn.966028.

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Van Roy, Patrick. « Is There a Difference Between Solicited and Unsolicited Bank Ratings and, If So, Why ? » SSRN Electronic Journal, 2006. http://dx.doi.org/10.2139/ssrn.802085.

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